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Dr. Mahmoud Parto is a distinguished and visionary leader in the field of Artificial Intelligence (AI) and Machine Learning (ML), with a profound impact on leveraging advanced technologies to solve complex real-world problems, particularly in the healthcare and technology sectors. With over two decades of experience, he has held pivotal roles in pioneering AI strategies, building and leading high-performance data science and engineering teams, and delivering transformative AI-driven products and solutions. His expertise encompasses a wide range of AI disciplines, including deep learning, natural language processing (NLP), computer vision, predictive analytics, and the development of scalable AI platforms. Dr. Parto is known for his ability to bridge the gap between cutting-edge research and practical application, driving innovation and creating substantial business value. He is passionate about the ethical development and deployment of AI to improve human lives and revolutionize industries.
Mahmoud Parto, Ph.D.'s work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Served as Chief AI Officer at major organizations like Optum, spearheading enterprise-wide AI strategy, innovation, and implementation to transform healthcare delivery and operations.
Held significant leadership and technical roles at leading technology companies such as Amazon (e.g., Director, Applied Science for Amazon Style) and Microsoft Research, contributing to the development of large-scale AI/ML systems and products.
Authored numerous influential publications and holds multiple patents in areas of machine learning, data mining, and artificial intelligence, contributing significantly to the academic and industrial knowledge base.
Proven track record of recruiting, mentoring, and leading world-class teams of scientists, engineers, and product managers to deliver impactful AI solutions.
Recognized as a thought leader in AI, frequently invited to deliver keynote speeches and participate in panel discussions at major industry conferences and academic forums, sharing insights on AI trends, ethics, and applications.
Georgia Institute of Technology - Year 2016
Georgia Institute of Technology - Year 2016
Iowa State University - Year 2013
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